AI is more likely than humans to form biases when hiring

The next time you apply for a job, AI may screen your résumé before any human sees it. But there’s good reason to question whether AI will judge you fairly.

Researchers already know that LLMs pick up human biases from their training data. New research suggests that LLMs can also develop their own biases from experience—and stereotype job applicants more than humans do.

As AI companies race to build agentic models that remember the tiniest details about users, they may be handing them ammunition for forming those biases.

Researchers at Princeton University and the University of Chicago ran LLMs, including ChatGPT, Claude, and Gemini, through a simulated hiring game, adapted from a psychology study that explored how humans can form stereotypes.

Each model was told it had been hired as a consultant by the mayor of a fictional city and was then asked to help hire people for 20 jobs, including doctors, lawyers, child-care aides, and janitors.

Candidates came from four fictional ethnic groups: Tufa, Aima, Reku, and Weki. In each round, there was a new job opening and four candidates, one from each group.

After the model hired a candidate, it learned whether they succeeded at their job an

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  AI is more likely than humans to form biases when hiring